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ORCIDMartin Käppel
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2020 – today
- 2024
[c12]Martin Käppel
, Lars Ackermann, Stefan Jablonski, Simon Härtl:
Attention Please: What Transformer Models Really Learn for Process Prediction. BPM 2024: 203-220- [i3]Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann:
Recent Advances in Data-Driven Business Process Management. CoRR abs/2406.01786 (2024) - [i2]Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl:
Attention Please: What Transformer Models Really Learn for Process Prediction. CoRR abs/2408.07097 (2024) - 2023
- [j4]Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter:
Automaton-based comparison of Declare process models. Softw. Syst. Model. 22(2): 667-685 (2023) - [j3]Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter:
Correction: Automaton-based comparison of Declare process models. Softw. Syst. Model. 22(2): 687 (2023) - [c11]Martin Käppel, Stefan Jablonski:
Model-Agnostic Event Log Augmentation for Predictive Process Monitoring. CAiSE 2023: 381-397 - [c10]Lars Ackermann, Julian Neuberger, Martin Käppel, Stefan Jablonski:
Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques. CAiSE 2023: 471-486 - [c9]Nicolai Schützenmeier, Martin Käppel, Myriel Fichtner, Stefan Jablonski:
Scenario-Based Model Checking of Declarative Process Models. ICEIS (2) 2023: 406-417 - [c8]Nicolai Schützenmeier, Stefan Jablonski, Martin Käppel, Lars Ackermann:
Comparing the Expressiveness of Imperative and Declarative Process Models. MOBA 2023: 16-31 - 2022
- [c7]Martin Käppel, Engjëll Ahmeti, Stefan Jablonski:
Deviance Analysis by Means of Redescription Mining. BPMDS/EMMSAD@CAiSE 2022: 91-107 - 2021
- [j2]Martin Käppel, Stefan Schönig, Stefan Jablonski:
Leveraging Small Sample Learning for Business Process Management. Inf. Softw. Technol. 132: 106472 (2021) - [j1]Martin Käppel, Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Language-independent look-ahead for checking multi-perspective declarative process models. Softw. Syst. Model. 20(5): 1379-1401 (2021) - [c6]Martin Käppel, Stefan Jablonski, Stefan Schönig:
Cost-Sensitive Predictive Business Process Monitoring. ADBIS (Short Papers) 2021: 14-26 - [c5]Nicolai Schützenmeier, Martin Käppel, Sebastian Petter, Stefan Jablonski:
Upper-Bounded Model Checking for Declarative Process Models. PoEM 2021: 195-211 - [c4]Martin Käppel, Stefan Jablonski, Stefan Schönig:
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs. QUATIC 2021: 167-182 - [i1]Martin Käppel, Stefan Jablonski, Stefan Schönig:
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs. CoRR abs/2104.00362 (2021)
2010 – 2019
- 2019
- [c3]Martin Käppel, Nicolai Schützenmeier, Stefan Schönig, Lars Ackermann, Stefan Jablonski:
Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes. BPMDS/EMMSAD@CAiSE 2019: 53-68 - [c2]Nicolai Schützenmeier, Martin Käppel, Sebastian Petter, Stefan Schönig, Stefan Jablonski:
Detection of Declarative Process Constraints in LTL Formulas. EOMAS@CAiSE 2019: 131-145 - [c1]Chettan Kumar, Martin Käppel, Nicolai Schützenmeier, Philipp Eisenhuth, Stefan Jablonski:
A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters. DATA 2019: 408-415
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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